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[PDF] Top 20 Data mining techniques and breast cancer prediction : A case study of Libya

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Data mining techniques and breast cancer prediction : A case study of Libya

Data mining techniques and breast cancer prediction : A case study of Libya

... In another case-control study of 4,538 breast cancer cases of Black and White women in the United States, Bernstein et a l 2005 used unconditional logistic regression; they noted that an[r] ... See full document

217

Data Mining Techniques: To Predict and Resolve Breast Cancer Survivability

Data Mining Techniques: To Predict and Resolve Breast Cancer Survivability

... © 2014, IJCSMC All Rights Reserved 19 For better understand the importance of the input variables, it is customary to analyse the impact of input variables during breast cancer prediction, in which ... See full document

13

Prediction of heart disease using data mining techniques: A Case study

Prediction of heart disease using data mining techniques: A Case study

... large data is generated from different patient’s symptoms and clinic ...the data in medical sector is computerized but not utilized ...This data can be harnessed to predict diseases such as ... See full document

13

Diagnosis of Breast Cancer by Combining the
Techniques of Data Mining and Artificial Immune
System

Diagnosis of Breast Cancer by Combining the Techniques of Data Mining and Artificial Immune System

... - Breast cancer is known as the most common cancer among women so that in 2012, 29% of cases were diagnosed among women have been infected with breast ...of breast cancer ...the ... See full document

8

Heart Disease Prediction System Using Data Mining Techniques

Heart Disease Prediction System Using Data Mining Techniques

... The experimental results have shown that, in general, J48 Decision Tree algorithm outperformed Naïve Bayes classifier and Neural Networks in the domain of predicting heart disease cases. One possible explanation for ... See full document

10

An Integrated Cancer Prediction System Using Data Mining Techniques

An Integrated Cancer Prediction System Using Data Mining Techniques

... of data mining ...identifying data for frequent if/then patterns and identification of the most important relationship by using the criteria support and ...proposed prediction of cancer ... See full document

5

A Research on Breast Cancer Prediction using Data Mining Techniques

A Research on Breast Cancer Prediction using Data Mining Techniques

... Generally breast cancers are diagnosed by Mammograms, Breast Ultrasound, Breast magnetic resonance imaging Scans and Breast diagnostic ...Typically breast cancers are identified inside ... See full document

9

A Review on Breast Cancer Detection Using Data Mining Techniques

A Review on Breast Cancer Detection Using Data Mining Techniques

... different data mining algorithms to predicts all those cases of breast cancer that are recurrent using Wisconsin Prognostic Breast Cancer (WPBC) dataset from the UCI machine ... See full document

6

PERFORMANCE COMPARISON OF DATA MINING TECHNIQUES FOR PREDICTION AND DIAGNOSIS OF BREAST CANCER DISEASE SURVIVABILITY

PERFORMANCE COMPARISON OF DATA MINING TECHNIQUES FOR PREDICTION AND DIAGNOSIS OF BREAST CANCER DISEASE SURVIVABILITY

... The prediction of breast cancer survivability has been a challenging research problem for many ...quality data is being collected and stored automatically; and finally thanks to better ... See full document

7

1.
													Survey on data mining classification techniques for prediction of lung cancer

1. Survey on data mining classification techniques for prediction of lung cancer

... Data mining (DM) is hidden predictive data extraction Relationships and unknown data, trends, and observations by analyzing large data sets using traditional, hard-to-find and detect ... See full document

6

Prediction of Breast Cancer Risk Level with Risk Factors in Perspective to Bangladeshi Women using Data Mining

Prediction of Breast Cancer Risk Level with Risk Factors in Perspective to Bangladeshi Women using Data Mining

... to breast cancer stage there are different kinds of ...for breast cancer depends on the type and stage of the disease, the size the tumor, general health, medical history and age of ...the ... See full document

6

<p>Prediction and Monitoring Method for Breast Cancer: A Case Study for Data from the University Hospital Centre of Coimbra</p>

<p>Prediction and Monitoring Method for Breast Cancer: A Case Study for Data from the University Hospital Centre of Coimbra</p>

... Control chart schemes attach increasing importance to biosurveillance studies. For example, Rogerson and Yamada 10 proposed a multivariate cumulative sum approach to detect changes in spatial patterns and applied it to ... See full document

7

IJCSMC, Vol. 8, Issue. 9, September 2019, pg.01 – 10 A Comparative Study between Data Mining Classification and Ensemble Techniques for Predicting Survivability of Breast Cancer Patients

IJCSMC, Vol. 8, Issue. 9, September 2019, pg.01 – 10 A Comparative Study between Data Mining Classification and Ensemble Techniques for Predicting Survivability of Breast Cancer Patients

... of data is available and one is interested in obtaining a more robust estimate of a statistical ...a prediction and the results are averaged to give a more robust ...specific data from which they ... See full document

10

Empirical Study on Data Mining Techniques For Breast Cancer Diagnosis

Empirical Study on Data Mining Techniques For Breast Cancer Diagnosis

... as breast cancers. Although many types of breast cancer can cause a lump in the breast, not all ...Many breast cancers are found on screening mammograms which can detect cancers at an ... See full document

6

Evaluation of Predictive Ability of Some Data Mining and Statistical Techniques Using Breast Cancer Dataset

Evaluation of Predictive Ability of Some Data Mining and Statistical Techniques Using Breast Cancer Dataset

... this study, we will use a newer version of Surveillance, Epidemiology, and End Results (SEER) Cancer Incidence Public-Use Database for the (period of 1973 - 2013 with 700,000 ...SEER data files were ... See full document

10

An Enhanced K-Means Algorithm For Classification Of Cardiac Disease

An Enhanced K-Means Algorithm For Classification Of Cardiac Disease

... [5] XindongWu, Vipin Kumar,J.Ross, Quinlan, Joydeep Ghosh, Qiang Yang, Hiroshi Motoda, Geoffrey J, McLachlan, Angus Ng, Bing Liu, Philip S.Yu, Zhi-Hua Zhou, Michael Steinbach, David J. Hand, Dan Steinberg, ”Top 10 ... See full document

7

A review on stock data prediction using predictive data mining techniques

A review on stock data prediction using predictive data mining techniques

... Stock market is the bone of fast emerging economies such as India. Major of capital infusion for companies across the country was made possible only through shares sold to people. So our country growth is tightly bounded ... See full document

5

Breast cancer risk prediction and individualised screening based on common genetic variation and breast density measurement

Breast cancer risk prediction and individualised screening based on common genetic variation and breast density measurement

... that cancer is instantaneously detectable with- out ...(e.g. breast density) may also vary with age, but the approach becomes unwieldy/esti- mates become unstable if we account for age-dependent effects of ... See full document

11

Why only data mining? a pilot study on inadequacy and domination of  data mining technology

Why only data mining? a pilot study on inadequacy and domination of data mining technology

... the data sizes. Similarly data mining is also involves in health informatics to fight against the cancer and Aids like diseases(Sohail ...book. Data mining is not capable of ... See full document

8

Title: PERFORMANCE COMPARISION OF DATA CLASSIFICATION ALGORITHM FOR ANALYSIS LUNG CANCER DATASETS

Title: PERFORMANCE COMPARISION OF DATA CLASSIFICATION ALGORITHM FOR ANALYSIS LUNG CANCER DATASETS

... Classification tree method use to classify data. the method gas establish and use to various environment medical, market research,statisticalanalysis,masketking and customer relationship. The various types of ... See full document

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